A review on intelligent recognition for digital modulation types

Li Zerun; Li Baoguo; Qin Shan; Wang Lulu; Liu Xinqun

doi:10.11959/j.issn.1000-0801.2026099

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A review on intelligent recognition for digital modulation types

Review | 更新时间：2026-04-08

- A review on intelligent recognition for digital modulation types
- Telecommunications Science Vol. 42, Issue 3, Pages: 1-18(2026)
- 作者机构：
  
  1.军事科学院军事智能研究院，北京 100091
  2.国防科技大学电子科学学院，湖南长沙 410073
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62171455)
- DOI：10.11959/j.issn.1000-0801.2026099
  CLC： TN911;TP302
- Received：08 December 2025，
  
  Revised：2026-01-11，
  
  Accepted：12 January 2026，
  
  Published：20 March 2026
- 稿件说明：
移动端阅览
李泽润,李保国,秦姗等.数字调制类型智能识别综述[J].电信科学,2026,42(03):1-18.

Li Zerun,Li Baoguo,Qin Shan,et al.A review on intelligent recognition for digital modulation types[J].Telecommunications Science,2026,42(03):1-18.
李泽润,李保国,秦姗等.数字调制类型智能识别综述[J].电信科学,2026,42(03):1-18. DOI： 10.11959/j.issn.1000-0801.2026099.

Li Zerun,Li Baoguo,Qin Shan,et al.A review on intelligent recognition for digital modulation types[J].Telecommunications Science,2026,42(03):1-18. DOI： 10.11959/j.issn.1000-0801.2026099.

摘要

数字调制类型智能识别技术能在合作发送方、合作接收方、干扰方、非合作接收方之间发挥重要作用，可以在合作通信模式中增强传输稳健性，还能在非合作通信模式中提升信息对抗能力。对数字调制类型智能识别的最新研究成果开展详细的综述：阐述调制类型智能识别技术的研究背景和研究意义；说明基于似然比检测的统计学习方法和基于特征量提取的模式识别方法；梳理并对比数字调制类型智能识别的技术路线；最后，提出数字调制类型智能识别的当前挑战和未来展望。该研究能为掌握数字调制类型智能识别的研究现状和发展趋势提供参考。

Abstract

Intelligent recognition technology for digital modulation types can play an important role among cooperative senders

cooperative receivers

interference senders

and non-cooperative receivers

and it can enhance the robustness of transmission in cooperative communication mode and enhance the ability of information countermeasures in non-cooperative communication mode. The latest research results of intelligent recognition for digital modulation types

as well as the research background and meaning of intelligent recognition technology for modulation types

were detailed in the review

statistical learning based on the likelihood ratio test method

and feature extraction based on the pattern recognition method were described

the technology routes of intelligent recognition for digital modulation types were combed and compared in detail

and the present challenges were identified and the future blueprint on the development of the intelligent recognition for digital modulation types was proposed. This research provides references to grasp the research status and development trend of intelligent recognition for digital modulation types in the recent years.

关键词

Keywords

references

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